Latest Articles for Decision Making

A look at best-effort synthesis for agents facing uncertainty.

Examining how feedback affects economic forecasts and decision-making.

Understanding explainability in AI through Answer-set Programming enhances decision-making processes.

Learn how players can improve negotiation outcomes with informed decisions.

Strategies for maintaining consistency in answer set programs through conflict resolution.

Exploring how AI can reason about different choices and outcomes.

A simple guide to fuzzy rough approximations and their applications.

A method focusing on key features for better decision-making in machine learning.

Strategies for better project selection and minimizing regret in decision-making.

This article discusses efficient methods for decision-making using linear approximations and stochastic techniques.

A new algorithm enhances decision-making in uncertain environments through effective sampling.

Evidence Theory offers a new way to approach uncertainty in decision-making.

Examining risk-averse gamblers and the St. Petersburg paradox.

Examining how AI interprets and interacts with the game Othello.

A method to balance rewards and resources using clustered contextual bandits.

New approach to robust Markov Decision Processes enhances decision-making under uncertainty.

Introducing EOR to improve fairness in ranking systems across diverse candidate groups.

Combining NLP and Sampling for smarter community governance.

Pure CFR improves decision-making in complex games with hidden information.

A new approach emphasizes reward understanding for better RL decision insights.

A method to balance observation and intervention for effective decision-making.

New insights into how brain signals influence decision-making processes in mammals.

Shapley values may misrepresent feature importance, affecting critical decision-making.

A look into singular stochastic control and its strategies for maximizing rewards.

An overview of dynamic programming and its applications in decision-making processes.

New model reveals how cognitive maps work together in the brain.

Exploring how individuals achieve synchronization in complex human networks.

Exploring how counterfactuals improve clarity in machine learning predictions.

A new approach to decision-making using mediators for better outcomes.

A novel technique enhances safety checks in random systems like robots and vehicles.

A look at Bayesian and Frequentist methods in statistics.

A new method helps robots learn safely in uncertain environments.

A model integrating appraisal and reinforcement learning enhances emotional evaluation.

Learn how multiple test results impact disease probability using two methods.

Examining learning methods for effective gameplay in uncertain environments.

An in-depth look at how coaches decide on fourth down plays.

A new approach to improving algorithmic recourse over time and competition.

A new framework integrates safety and robustness in reinforcement learning agents.

A look at advanced techniques for policy evaluation in healthcare decision-making.

Researchers propose a Bayesian approach to enhance decision-making in intelligent agents.